Lidar Characterization of Cloud Liquid Water Content and Effective Droplet Diameter

PDF

Authors
  1. Bissonnette, L.R.
  2. Roy, G.
Corporate Authors
Defence Research Establishment Valcartier, Valcartier QUE (CAN)
Abstract
Supercooled cloud and precipitation water droplets constitute a safety hazard to aviation. Concerned agencies are funding research on methods of remotely sensing the icing potential of such clouds and prcipitation. The parameters needed are the temperature, the liquid water content (LWC) and the average droplet size. We report out at Mount Washington during April 1999. The MFOV technique consists in the measurement of the forward multiple scattering contributions to lidar returns coupled with a solution method that makes use of this additional information to calculate the extinction coefficient and the effective droplet diameter as the dependent functions, and the LWC as a by-product. The paper describes the MFOV retrieval method and gives sample results obtained in the Mount Washington experiment. The retrieved solutions demonstrate the lidar capability of remotely sensing droplet size and LWC profiles of clouds and precipitation. Solution accuracy is determined to be 30-340% but the analysis of the data from all fielded sensors will be needed to validate these numbers.
Keywords
Adverse weather;MFOV (Multiple Field Of View);Multiple scattering
Date of publication
01 Sep 1999
Number of Pages
16
Reprinted from
SPIE, Vol 3865, 1999, p 160-170
DSTKIM No
CA001496
CANDIS No
512558
Format(s):
Hardcopy;Document Image stored on Optical Disk

Permanent link

Document 1 of 1

Date modified: